Triple

T5485853
Position Surface form Disambiguated ID Type / Status
Subject The Mask E123578 entity
Predicate starring P1507 FINISHED
Object Amy Yasbeck E446004 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Amy Yasbeck | Statement: [The Mask, starring, Amy Yasbeck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amy Yasbeck
Context triple: [The Mask, starring, Amy Yasbeck]
  • A. Amy Yasbeck chosen
    Amy Yasbeck is an American actress best known for her comedic roles in films like "Problem Child" and for her work on television.
  • B. Amy Landecker
    Amy Landecker is an American actress best known for her role as Sarah Pfefferman on the television series "Transparent."
  • C. Lisa Edelstein
    Lisa Edelstein is an American actress and writer best known for her role as Dr. Lisa Cuddy on the television series "House" and for prominent performances in various film and TV dramas and comedies.
  • D. Rebecca Feldman
    Rebecca Feldman is a theater artist best known for creating the original improvisational concept that evolved into the Tony Award–winning musical "The 25th Annual Putnam County Spelling Bee."
  • E. Rachel Leibowitz
    Rachel Leibowitz is a person notable enough to be specifically cited as a bearer of the surname Leibowitz.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69bd4648883481909e9775d43300c5fa completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd92625a50819088133641ed6f25a9 completed March 20, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c62cddd8188190928e01ba450637c2 completed March 27, 2026, 7:08 a.m.
Created at: March 20, 2026, 2:10 p.m.